"""Clean old output, re-submit, get REAL GPU timing.""" import paramiko, time, json k = paramiko.Ed25519Key.from_private_key_file(r'C:\Users\fabia\.ssh\id_ed25519') c = paramiko.SSHClient() c.set_missing_host_key_policy(paramiko.AutoAddPolicy()) c.connect('192.168.178.150', username='fabian', pkey=k, timeout=10) sftp = c.open_sftp() def sh(cmd, timeout=60): chan = c.get_transport().open_session() chan.settimeout(timeout) chan.exec_command('/bin/bash -l -c ' + "'" + cmd.replace("'", "'\\''") + "'") out = b"" while True: try: chunk = chan.recv(65536) if not chunk: break out += chunk except: break chan.close() return out.decode(errors='replace').strip() # Delete old output print("Cleaning old output...") sh('rm -f ~/ComfyUI/output/ZImageTurbo_GPU*.png') # Truncate log to see fresh output only sh('truncate -s 0 /tmp/comfyui.log; sleep 1') # Submit fresh workflow workflow = { "prompt": { "1": {"class_type": "UnetLoaderGGUF", "inputs": {"unet_name": "z_image_turbo-Q5_K_S.gguf"}}, "2": {"class_type": "CLIPLoaderGGUF", "inputs": {"clip_name": "Qwen3-4B.i1-Q5_K_S.gguf", "type": "qwen_image"}}, "3": {"class_type": "VAELoader", "inputs": {"vae_name": "ae.safetensors"}}, "4": {"class_type": "CLIPTextEncode", "inputs": {"text": "A red fox in a snowy forest, photorealistic", "clip": ["2", 0]}}, "5": {"class_type": "EmptyLatentImage", "inputs": {"width": 512, "height": 512, "batch_size": 1}}, "6": {"class_type": "KSampler", "inputs": { "model": ["1", 0], "positive": ["4", 0], "negative": ["4", 0], "latent_image": ["5", 0], "seed": 123, "steps": 8, "cfg": 1.0, "sampler_name": "euler", "scheduler": "simple", "denoise": 1.0 }}, "7": {"class_type": "VAEDecode", "inputs": {"samples": ["6", 0], "vae": ["3", 0]}}, "8": {"class_type": "SaveImage", "inputs": {"images": ["7", 0], "filename_prefix": "ZImageTurbo_GPU"}} } } with sftp.open('/tmp/wf.json', 'w') as f: f.write(json.dumps(workflow)) print("Submitting fresh workflow (seed=123)...") resp = sh('curl -s -X POST http://127.0.0.1:8188/prompt -H "Content-Type: application/json" -d @/tmp/wf.json') print(f" {resp[:120]}") t0 = time.time() print("\nMonitoring (NORMAL_VRAM = real GPU compute)...") for i in range(200): elapsed = int(time.time() - t0) gpu_temp = sh('cat /sys/class/drm/card0/device/hwmon/hwmon*/temp1_input 2>/dev/null', timeout=5) temp_c = int(gpu_temp) // 1000 if gpu_temp.isdigit() else '?' try: with sftp.open('/tmp/comfyui.log', 'r') as f: log = f.read().decode(errors='replace') except: log = '' sampling = '' last = '' for line in log.split('\n'): s = line.strip() if '/8' in s and ('it/s' in s or 's/it' in s): sampling = s if s and 'FETCH' not in s and 'startup tasks' not in s and 'DEPRECATION' not in s: last = s display = sampling if sampling else last[-100:] print(f" [{elapsed:>4}s] {temp_c}C | {display}") imgs = sh('ls ~/ComfyUI/output/ZImageTurbo_GPU*.png 2>/dev/null', timeout=5) if imgs: exec_time = '' for line in log.split('\n'): if 'Prompt executed in' in line: exec_time = line.strip() print(f"\n *** IMAGE GENERATED! ***") print(f" File: {imgs}") print(f" {exec_time}") print(f" Wall time: {elapsed}s") for line in log.split('\n'): s = line.strip() if any(k in s for k in ['loaded completely', 'loaded partially', '/8', 'Prompt executed']): print(f" {s}") break q = sh('curl -s http://127.0.0.1:8188/queue 2>/dev/null', timeout=5) try: qd = json.loads(q) if not qd.get('queue_running') and not qd.get('queue_pending') and elapsed > 20: time.sleep(2) imgs = sh('ls ~/ComfyUI/output/ZImageTurbo_GPU*.png 2>/dev/null', timeout=5) if imgs: print(f"\n *** IMAGE: {imgs} ***") else: print(f"\n Queue empty, no image:") for line in log.split('\n')[-20:]: if line.strip(): print(f" {line.strip()}") break except: pass alive = sh('pgrep -f "python3.*main.py" >/dev/null && echo Y || echo N', timeout=5) if alive == 'N': print(f"\n CRASHED!") for line in log.split('\n')[-25:]: if line.strip(): print(f" {line.strip()}") break time.sleep(10) sftp.close() c.close() print("\nDone.")